Hyperspectral time series datasets of maize during the grain filling period

OBJECTIVES: Remotely sensed hyperspectral data are increasingly being used to assess crop development and growth throughout the growing season. Large datasets capturing key growth stages can be useful to researchers studying many physiological plant responses. A time series analysis of hyperspectral...

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Detalles Bibliográficos
Autores principales: Craig, Valerie, Earl, Hugh, Sulik, John, Lee, Elizabeth A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Data Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052440/
https://www.ncbi.nlm.nih.gov/pubmed/35488318
http://dx.doi.org/10.1186/s13104-022-06029-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052440/
https://www.ncbi.nlm.nih.gov/pubmed/35488318
http://dx.doi.org/10.1186/s13104-022-06029-9

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